Economic efficiency of Embrapa's research centers and the influence of contextual variables.
In this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa's (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensisty, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is a of the type dynamic panel and assumes a strucutred correlation matrix intra times and unstructured inter times. In order to better disciminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa's performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables.
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Artigo de periódico biblioteca |
| Language: | English eng |
| Published: |
2010-03-03
|
| Subjects: | Data Envelopment analysis, Economic efficiency, Contextual variables, Análise de envoltória de dados, Eficiência econômica, Variávil contextual, |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/659604 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa's (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensisty, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is a of the type dynamic panel and assumes a strucutred correlation matrix intra times and unstructured inter times. In order to better disciminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa's performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables. |
|---|